2014 12th IEEE International Conference on Embedded and Ubiquitous Computing 2014
DOI: 10.1109/euc.2014.53
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A BRS-Based Modeling Approach for Context-Aware Systems: A Case Study of Smart Car System

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Cited by 4 publications
(3 citation statements)
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“…The authors (Siewe et al, 2011) have suggested a Calculation of Context-aware Ambients (CCA) to model and verify the mobile systems that are context-aware. Other works are based on the Bigraphical theory to model the structure of context-aware system (Cherfia & Belala, 2014), (Wang et al, 2011). However, the verification of the system requires many intermediate steps to translate a context model into another example of Petri network model, and then use another language to verify the behavior of the system.…”
Section: Related Workmentioning
confidence: 99%
“…The authors (Siewe et al, 2011) have suggested a Calculation of Context-aware Ambients (CCA) to model and verify the mobile systems that are context-aware. Other works are based on the Bigraphical theory to model the structure of context-aware system (Cherfia & Belala, 2014), (Wang et al, 2011). However, the verification of the system requires many intermediate steps to translate a context model into another example of Petri network model, and then use another language to verify the behavior of the system.…”
Section: Related Workmentioning
confidence: 99%
“…Bigraphs are a universal computational model, defined by Milner [16], for modeling interacting systems that evolve in time and space, and have been applied to model a wide range of systems, e.g. IoT/Edge systems [17]- [19], MixedReality systems [20], context-aware systems [21], networking [22], [23], and security of Cyber-Physical systems [24], [25]. Relationships between entities, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…However, they did not consider the safety/security scenarios and just provide a general view of a context-aware system. The closest work to our study is performed in [17]. In this study, the authors formalize the context-awareness of a simple smart car by using the Bigraphical Reactive System.…”
Section: Related Workmentioning
confidence: 99%